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状态信息和轨道信息下的非合作目标精密跟踪技术 被引量:1

Non-cooperative Target Precision Tracking Technology Based on Input and Orbit Information
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摘要 针对随机脉冲推力控制下的空间机动目标跟踪问题,提出一种基于状态信息和轨道信息的实时跟踪算法。该算法通过基于机动推力a-β动力学模型和改进当前统计模型的并行计算滤波器,完成空间非合作目标高精度实时跟踪。同时,利用直观的轨道信息,完成机动检测,采取重置滤波参数的方式获得更快的收敛速度和稳健性。仿真实验表明该算法可有效检测机动,实现了对非合作目标机动目标的轨道确定,具有一定的工程实用性。 A new method was presented based on input and orbit information for space non-cooperative target tracking during random thrust maneuvering process .It is composed by two filters in parallel , the main one is constructed by dynamic model and the auxiliary one is con-structed by improved current statistic model .The two filters run for estimating real-time and precise filtering results .Meanwhile , maneuver detection is done based on the orbit information .If the maneuver is detected , changing filter parameters are introduced to obtain faster and smooth tracking results .Simulations show that the result of the new algorithm is much superior to traditional ones .The algorithm has certain engineering practicability .
出处 《弹箭与制导学报》 CSCD 北大核心 2016年第2期6-10,共5页 Journal of Projectiles,Rockets,Missiles and Guidance
基金 国家自然科学基金(61302098)资助
关键词 状态信息和轨道信息 a-β动力学模型 改进当前统计模型 input and orbit information a-βdynamic model improved current statistic model
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  • 1LIU Ye1,YU AnXi1,ZHU JuBo2 & LIANG DianNong1 1 College of Electronic Science and Engineering,National University of Defense Technology,Changsha 410073,China,2 Science College,National University of Defense Technology,Changsha 410073,China.Unscented Kalman filtering in the additive noise case[J].Science China(Technological Sciences),2010,53(4):929-941. 被引量:18
  • 2杨元喜,张双成.导航解算中的系统误差及其协方差矩阵拟合[J].测绘学报,2004,33(3):189-194. 被引量:41
  • 3车汝才,张洪华.追踪星跟踪空间非合作目标的相对轨道设计[J].航天控制,2006,24(5):40-45. 被引量:9
  • 4Li X R, Vesselin P J. A survey of maneuvering target tracking Part Ⅳ: decision-based methods[C]// Proceedings of SPIE Conf.on Signal and Data Processing of Small Targets,2002.
  • 5Li X R, Vesselin P J. A survey of maneuvering target tracking. Part Ⅴ: multiple model methods[J]. IEEE Trans. on AES, 2005,11(4) :1255 1321.
  • 6Bizup D F, Brown D B. Maneuver detection using the range rate measurement[J].IEEE Trans. on AES, 2004, 40 (1): 330 - 336.
  • 7Ru J F, Chen H M. Li X R, et al. A range based detection tech nique for tracking a maneuveringtarget[C]//Proc. of SPIE on Signal and Data Processing of Small Targets,2005.
  • 8Ru J F, Jilkov V P, Li X R, et al. Sequential detection of target maneuvers[C]//Proc.of International Conf. on Information Fusion. Philadelphia . PA ,USA,2005.
  • 9Ru J F, Bashi A, Li X R. Performance comparison of target maneuver onset detection algorithms[C]// Proc. of SPIE Conf . on Signal and Data Progressing of Small Targets,2004.
  • 10Basseville M, Nikiforov I. Detection of abrupt changes: theory and application [M].Englewood Cliffs,NJ: Prentice Hall, 1993.

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